DevOps - Lead Software Engineer - Columbus Ohio

Company: JPMorganChase
Location: Columbus, Ohio
Posted On: 04/02/2026

Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the CT, you will be responsible for ensuring the reliability, scalability, and automation of AI-powered applications and infrastructure. In this role, you will be responsible for ensuring the reliability, scalability, and automation of AI-powered applications and infrastructure. You will partner with engineering, and other stakeholders to deliver modern observability, intelligent incident response, and autonomic operations across our applications. Job responsibilities: Ensure reliability, scalability, and performance of AI-assisted application and platform operations. Design and implement AI-driven solutions for intelligent alerting, noise reduction & auto-correlation systems Build and maintain observability, monitoring, and telemetry for AI application and platforms. Build and support automation for alerting, anomaly detection, and self-healing workflows. Collaborate with engineering, and other stakeholders to drive operational excellence. Mentor and guide engineers on AIOps standards and operational excellence. Define and execute the roadmap for AI-assisted SRE and observability. Required qualifications, capabilities, and skills: Formal training or certification on software engineering concepts and 5 years applied experience Demonstrates strong experience in SRE, DevOps, or Platform Engineering roles. Strong hands-on experience with AWS (ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, EKS). Hands-on experience with AWS and LLM APIs. Expertise in observability tools: OpenTelemetry, Grafana, Prometheus, ELK, CloudWatch. Experience with CI/CD tools (GitHub Actions, Jenkins, Spinnaker ). Proven track record in automation, operational tooling, and event-driven workflows. In-depth understanding of distributed systems, microservices, and cloud architectures. Preferred qualifications, capabilities, and skills: Experience with AI-powered coding assistants like GitHub Copilot, windsurf. Familiarity with prompt engineering, embeddings, and RAG pipelines. Experience building operational copilots or chatbots for runbooks or troubleshooting. Proficiency in Python More...

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